atropos/environments/community/pytorch_optimizer_coding/run_optimizer_benchmark.py
2025-05-26 14:35:16 +10:00

24 lines
755 B
Python

from atropos.environments.optimizer.wrapper import score_optimizer
from atroposlib.envs.base import BaseEnv, BaseEnvConfig
class OptimizerBenchmarkEnvConfig(BaseEnvConfig):
architecture: str = "mnist"
class OptimizerBenchmarkEnvironment(BaseEnv):
env_config_cls = OptimizerBenchmarkEnvConfig
def __init__(
self,
config: OptimizerBenchmarkEnvConfig,
server_configs=None,
slurm=False,
testing=False,
):
super().__init__(config, server_configs, slurm, testing)
self.architecture = config.architecture
async def evaluate(self, optimizer_code: str, *args, **kwargs):
# This method is required by BaseEnv
return score_optimizer(optimizer_code, self.architecture)